Scalable Hyperparameter Optimization with Lazy Gaussian Processes.

Raju Ram Sabine Müller Franz-Josef Pfreundt Nicolas R. Gauger Janis Keuper

Published in: MLHPC@SC (2019)

Keyphrases

gaussian processes
gaussian process
gaussian process regression
multi task learning
covariance function
relevance vector machine
multi task
human pose estimation
preference learning
gaussian process models
hyperparameters
decision trees
bayesian inference